A study published in the New England Journal of Medicine found that ICU patients with shock had similar survival rates, need for dialysis, and organ failure rates with invasive and noninvasive blood pressure monitoring. "The noninvasive strategy avoided the insertion of an arterial catheter in 85% of the patients assigned to that group," researchers wrote.

A meta-analysis published in Pediatric Pulmonology found that budesonide combined with pulmonary surfactant was associated with a nearly one-third reduction in the incidence of bronchopulmonary dysplasia in premature infants, and less in-hospital mortality and pulmonary hemorrhage, compared with surfactant alone. Researchers evaulated data from 12 randomized controlled trials that included 2,428 premature infants.

The Sequential Organ Failure Assessment score has been updated for the first time in three decades, with data from more than 2 million patient records. Published in the Journal of the American Medical Association, the SOFA-2 score reflects changes in clinical practices and outcomes, including revised thresholds and new variables for assessing organ dysfunction in critical illness.

A study published in the American Journal of Roentgenology found that malpractice factors may influence imaging use in emergency departments for patients with headaches. State legislative measures, such as damage caps and several liability, were associated with reduced imaging, according to the study, which analyzed 630,227 ED encounters.

Healthgrades released its annual list of the top hospitals for outpatient and 16 specialty care areas. The rankings are based on outcomes data from about 4,500 hospitals from 2022 through 2024, adjusted for comorbidities. NewYork-Presbyterian Queens, Morristown Medical Center and NYU Langone Hospitals are among the top, as are Johns Hopkins Hospital and Mission Hospital.

A study published in JAMA Network Open demonstrates the potential of AI to enhance sepsis research. Utilizing a large language model, the study extracted sepsis signs and symptoms from over 93,000 patient admission notes with accuracy comparable to manual reviews by physicians. The findings suggest AI could streamline data extraction from clinical notes, aiding in the development of predictive models for sepsis treatment.